Reviewer Form --- LatinX in AI workshop @ ICML 2025!!

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If you are interested in serving as a reviewer for our workshop, please answer the following questions.

First Name
*

Last Name
*

Email *

Affiliation *

Google Scholar Link (preferred) or webpage with list of publications
*

Qualifications

Check all that apply

Reviewed for Top general AI Conferences (main track NeurIPS/ICML/ICLR/AAAI/IJCAI/AAMAS)

Reviewed for Top Computer Vision and/or NLP conferences (main track CVPR/ECCV/ACL/EMNLP/NAACL)

Published papers in the main track of one of the above cited conferences

Reviewed for other conferences, workshops, or other editions of LXAI

Published papers in other conferences, workshops, or other editions of LXAI

I have never reviewed any paper.

Required

Primary Subject Area(s)
Select at least one *

General Machine Learning (active learning, clustering, online learning, ranking, supervised, semi- and self-supervised learning, time series analysis, etc.)

Deep Learning (architectures, generative models, theory, etc.)

Evaluation (methodology, meta studies, replicability and validity, human-in-the-loop, etc.)

Theory of Machine Learning (statistical learning theory, bandits, game theory, decision theory, etc.)

Machine Learning Systems (improved implementation and scalability, hardware, libraries, distributed methods, etc.)

Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)

Probabilistic Methods (Bayesian methods, graphical models, Monte Carlo methods, etc.)

Reinforcement Learning (decision and control, planning, hierarchical RL, robotics, etc.)

Trustworthy Machine Learning (causality, fairness, interpretability, privacy, robustness, safety, etc.)

Application-Driven Machine Learning (innovative techniques, problems, and datasets that are of interest to the machine learning community and driven by the needs of end-users in applications such as healthcare, physical sciences, biosciences, social sciences, sustainability and climate, etc.)

Required

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